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"Taibai" big model

Venus-GPT


01

Taibai Large Model (Venus GPT) Anqi can release the first large-scale basic model for new energy forecasting, which can predict power generation and electricity load with high precision. 

02

1 billion parameter base model, using flexible 3D Swin Transformer and related encoders and decoders, optimized during pre-training to minimize the loss of multiple heterogeneous data sets. 

03

The model is fine-tuned in two stages, including short lead times to fine-tune the pre-trained weights and long lead times to fine-tune with LoRA. 

04

Deploy fine-tuned models to address operational forecast scenarios at different resolutions. 

05

Venus GPT has been trained with more than one million hours of data from different regions, using the advantages of basic modeling methods to solve various distributed energy prediction problems. 

06

Generate 24 hour-by-hour or 7-day power generation forecasts in one minute. 

07

It performs well in pre-training on diverse datasets, outperforming specialized deep learning models such as LSTM or BP. 

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Inverter Data


 It is used to train the model's ability to predict new energy power generation equipment. 

Introduction

Meteorological test data


 Millions of hours.
High-precision meteorological forecast data for different regions:
used to train the model and improve it in different regions and meteorological conditions
under the forecast accuracy. 

Introduction